Data-driven Approaches

Random Picks

• ARIMA: ARIMA (AutoRegressive Integrated Moving Average) is a time series forecasting model that takes into account the autocorrelation and trend in the data. It is a combination of three components: autoregression (AR), differencing (I), and movin ... Read More >>
• Factorization Machines: Factorization Machines (FM) is a supervised machine learning algorithm that can be used for both regression and classification tasks. It is particularly useful when dealing with sparse datasets, where there are many missing values. FM is ba ... Read More >>
• Learning Rate: In machine learning, the learning rate is a hyperparameter that determines the step size at each iteration while moving toward a minimum of a loss function during training of a model. It controls how much to change the model in response to ... Read More >>